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pro vyhledávání: '"Tomofumi Kaneno"'
Autor:
Daiki Shimokawa, Kengo Takahashi, Ken Oba, Eichi Takaya, Takuma Usuzaki, Mizuki Kadowaki, Kurara Kawaguchi, Maki Adachi, Tomofumi Kaneno, Toshinori Fukuda, Kazuyo Yagishita, Hiroko Tsunoda, Takuya Ueda
Purpose:To develop a deep learning (DL)-based algorithm to predict the presence of stromal invasion of breast cancer on digital breast tomosynthesis (DBT).Materials and Methods:The institutional review board approved this retrospective study and waiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::289b039185ef58e177ecf0c040b000dd
https://doi.org/10.21203/rs.3.rs-1807556/v1
https://doi.org/10.21203/rs.3.rs-1807556/v1